Google Cloud Ai Platform V1 Client - Class MigrateMlEngineModelVersionConfig (0.10.0)

Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class MigrateMlEngineModelVersionConfig.

Config for migrating version in ml.googleapis.com to Vertex AI's Model.

Generated from protobuf message google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig

Methods

__construct

Constructor.

Parameters
NameDescription
data array

Optional. Data for populating the Message object.

↳ endpoint string

Required. The ml.googleapis.com endpoint that this model version should be migrated from. Example values: * ml.googleapis.com * us-centrall-ml.googleapis.com * europe-west4-ml.googleapis.com * asia-east1-ml.googleapis.com

↳ model_version string

Required. Full resource name of ml engine model version. Format: projects/{project}/models/{model}/versions/{version}.

↳ model_display_name string

Required. Display name of the model in Vertex AI. System will pick a display name if unspecified.

getEndpoint

Required. The ml.googleapis.com endpoint that this model version should be migrated from.

Example values:

  • ml.googleapis.com
  • us-centrall-ml.googleapis.com
  • europe-west4-ml.googleapis.com
  • asia-east1-ml.googleapis.com

Generated from protobuf field string endpoint = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
string

setEndpoint

Required. The ml.googleapis.com endpoint that this model version should be migrated from.

Example values:

  • ml.googleapis.com
  • us-centrall-ml.googleapis.com
  • europe-west4-ml.googleapis.com
  • asia-east1-ml.googleapis.com

Generated from protobuf field string endpoint = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
NameDescription
var string
Returns
TypeDescription
$this

getModelVersion

Required. Full resource name of ml engine model version.

Format: projects/{project}/models/{model}/versions/{version}.

Generated from protobuf field string model_version = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = {

Returns
TypeDescription
string

setModelVersion

Required. Full resource name of ml engine model version.

Format: projects/{project}/models/{model}/versions/{version}.

Generated from protobuf field string model_version = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = {

Parameter
NameDescription
var string
Returns
TypeDescription
$this

getModelDisplayName

Required. Display name of the model in Vertex AI.

System will pick a display name if unspecified.

Generated from protobuf field string model_display_name = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
string

setModelDisplayName

Required. Display name of the model in Vertex AI.

System will pick a display name if unspecified.

Generated from protobuf field string model_display_name = 3 [(.google.api.field_behavior) = REQUIRED];

Parameter
NameDescription
var string
Returns
TypeDescription
$this